Robert Chew
Impact in
- Neurology top 2%
- Long-Term Effects of COVID-19
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- Meta-analysis and systematic reviews
Papers in
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- Long-Term Effects of COVID-19 6
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- Meta-analysis and systematic reviews 4
- Co-authors
- Annice E Kim (8 shared papers)Antonio A. Morgan‐López (2 shared papers)Meera Sushila Viswanathan (4 shared papers)Karen Crotty (4 shared papers)Gerald Gartlehner (4 shared papers)Shannon Kugley (4 shared papers)Rainer Hilscher (4 shared papers)Leila C. Kahwati (4 shared papers)
- Journals
- JMIR Public Health and Surveillance (3 papers)Nature Communications (2 papers)PLoS Medicine (2 papers)Research Synthesis Methods (2 papers)Journal of Medical Internet Research (2 papers)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Robert Chew
39 papers receiving 1.2k citations
Robert Chew's Hit Papers
Peers
Comparison fields: 5 of 74
- Neurology 500
- Statistics, Probability and Uncertainty 84
- Health Informatics 15
- General Social Sciences 6
- Infectious Diseases 55
Countries citing papers authored by Robert Chew
This map shows the geographic impact of Robert Chew's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert Chew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Chew more than expected).
Fields of papers citing papers by Robert Chew
This network shows the impact of papers produced by Robert Chew. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert Chew. The network helps show where Robert Chew may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Chew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Development of a Definition of Postacute Sequelae of SARS-CoV-2 Infection Hit paper breakdown → | 2023 | 593 |
| 2 | 2023 | 98 | |
| 3 | Data extraction for evidence synthesis using a large language model: A proof‐of‐concept study Hit paper breakdown → | 2024 | 93 |
| 4 | 2020 | 85 | |
| 5 | 2018 | 66 | |
| 6 | 2017 | 62 | |
| 7 | 2024 | 43 | |
| 8 | 2017 | 30 | |
| 9 | 2024 | 27 | |
| 10 | 2018 | 23 | |
| 11 | 2019 | 23 | |
| 12 | 2019 | 20 | |
| 13 | 2024 | 13 | |
| 14 | 2019 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2018 | 8 | |
| 19 | 2025 | 8 | |
| 20 | 2025 | 8 |
About Robert Chew
Robert Chew is a scholar working on Neurology, Statistics, Probability and Uncertainty, Health, Artificial Intelligence and General Social Sciences, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (6 papers), Meta-analysis and systematic reviews (4 papers), Hate Speech and Cyberbullying Detection (3 papers), Smoking Behavior and Cessation (2 papers), Gun Ownership and Violence Research (2 papers), Social Media in Health Education (2 papers), Lung Cancer Treatments and Mutations (1 paper) and Authorship Attribution and Profiling (1 paper). The work is most often cited by research in Neurology (500 citations), Statistics, Probability and Uncertainty (84 citations), Health Informatics (15 citations), General Social Sciences (6 citations) and Infectious Diseases (55 citations). Robert Chew has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Annice E Kim, Antonio A. Morgan‐López, Meera Sushila Viswanathan, Karen Crotty, Gerald Gartlehner, Shannon Kugley, Rainer Hilscher, Leila C. Kahwati, Dorota S. Temple and Meghan Hegarty‐Craver. Their work appears in journals such as JMIR Public Health and Surveillance, Nature Communications, PLoS Medicine, Research Synthesis Methods and Journal of Medical Internet Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.